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ks (version 1.4.8)
Kernel smoothing
Description
Kernel density estimators and kernel discriminant analysis for multivariate data
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.4.8
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
January 16th, 2018
Functions in ks (1.4.8)
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Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
kda, Hkda, Hkda.diag
Kernel discriminant analysis for multivariate data
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
kde
Kernel density estimate for multivariate data
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
ks
ks
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
pre.scale, pre.sphere
Pre-sphering and pre-scaling
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
unicef
Unicef child mortality - life expectancy data
vec, vech, invvec, invvech
Vector and vector half operators
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution